The FDA's approval of organoids in preclinical research has catalyzed a major shift toward complex in vitro models (CIVM) for drug testing and disease research. The implementation of more biologically relevant phenotypic model formats, however, requires an evolution of imaging and analysis techniques. Traditional 2D high-content analysis (HCA) approaches fall short when it comes to capturing 3D biological information in detail, and many 3D cell culturing methods suffer from high sample variability. Modern microscopy systems now generate detailed 3D/4D datasets of CIVM, offering unprecedented insights into cellular structures. This webinar will explore cutting-edge tools and technologies that address these challenges, enabling researchers to use Ai-driven image analysis harness the full potential of CIVM for drug discovery and development.

Key Learnings:

• Automation of complex in vitro model generation and quantification at scale.
• Brightfield and fluorescent imaging techniques for 3D cell culture capturing.
• AI and parallel computing for robust 3D hydrogel culture analysis.
• Efficient drug response pattern detection across large 3D imaging datasets.